Autonomous Driving 3D Point Cloud Annotation & Delivery
Teams in Autonomous Driving use TjMakeBot to turn raw 3D Point Cloud data into accepted, versioned datasets and trained models — with human gates and auditable evidence at every step.
What we annotate
Bounding boxes, polygons, OBB, keypoints, segmentation, 3D boxes and 6D poses for Autonomous Driving 3D Point Cloud data, in one project with one label schema.
Pipeline & quality
Automated pre-labeling proposes candidates; reviewers approve or send back at human gates; quality reports state rule set, version, and metric calibers.
Delivery & evidence
Freeze dataset versions, export KITTI, and hand off an evidence bundle (metrics + calibers + versions + checksum) that a third party can recompute.